Staffing & Scheduling

Accurate reconstruction of historical photolysis frequencies using a machine learning approach enables long-term photochemical analysis: Implications for future O3 mitigation.

The photolysis frequency (J value) is a critical parameter in atmospheric photochemical simulations. However, routine observations of J values remain scarce, introducing substantial uncertainties in ozone (O3) and photochemical analysis. In this study, significantly lower J values were observed at a typical urban site in the Fenwei Plain (FWP) region of China. J values simulated by the tropospheri...

Dynamic Scheduling and Resource Optimization Algorithm for Union Activities by Integrating Transformer and Reinforcement Learning.

To address the problem of reduced organizational efficiency caused by frequent resource allocation conflicts and delayed scheduling responses in managing trade union activities, this paper proposes a dynamic scheduling algorithm that integrates Transformer and PPO (Proximal Policy Optimization). In the specific implementation, a unified scheduling scenario modeling structure is first designed to c...

Data-driven interpretation of mixed-culture polyhydroxyalkanoate accumulation using dual-target machine learning framework.

Polyhydroxyalkanoate (PHA) accumulation in mixed-culture feast-famine systems reflects nonlinear interactions among nutrient availability, biomass ret...

Towards grey-zone reliability in CA19-9 nanobiosensing: an AI-integrated molecular interface design-to-decision framework.

Mildly elevated CA19-9 levels (typically 37-300 U mL-1) define a diagnostic grey zone that fuels both patient anxiety and overdiagnosis, yet many nano...

A 3D-Printed Microvascular Surgery Training Platform With High-Fidelity, Biomimetic Properties.

Current vascular grafts face limitations including inadequate mechanical strength, inability to replicate small and complex anatomical structures, eth...

A novel inflammatory bowel disease registry powered by artificial intelligence and natural language processing.

Despite substantial recent progress in inflammatory bowel disease (IBD) therapies, there remains a large proportion of patients who are non-responders...

Synergistic cell-wall architecture tuning and skeleton reinforcement for wood sponges with superelasticity and exceptional fatigue resistance.

Elastic wood sponges are sustainable, low-cost, and multifunctional materials that have gained extensive attention and rapid development. However, the...

Recent advances in MR neuroimaging: toward quantitative and AI-driven brain and spinal cord imaging.

Magnetic resonance neuroimaging is undergoing a major paradigm shift from traditional qualitative anatomical mapping toward integrated, quantitative m...

Precision Education: How Ready Are Obstetrics and Gynecology Clerkships for the Future of Medical Education?

OBJECTIVES: Precision education has been heralded as the future of medical education, yet substantial barriers to realizing this future exist. We soug...

Intermittent air mixing enhances dry anaerobic co-digestion of pig manure solid fraction and wheat straw: Methane performance and machine-learning-guided parameter optimization.

Dry anaerobic co-digestion of pig manure solid fraction (PMSF) and wheat straw was optimized using biochemical methane potential assays, semi-continuo...

Artificial intelligence in medicine: An ethical and legal review.

The integration of artificial intelligence (AI) and machine learning (ML) into medical practice marks a transformative shift within healthcare deliver...

Generative Artificial Intelligence Performance on University-Level Human Anatomy Examinations: A Structured Narrative Review and Proposed MATRIX-Anatomy Framework.

Generative artificial intelligence (GenAI) can perform strongly on written anatomy examinations, but whether such scores represent anatomical competen...

Separation of coeluted compounds in capillary gas chromatography: customization via machine learning retention time prediction.

Gas Chromatography is a versatile separation technique widely used in analytical chemistry for constituent determination. However, gas chromatography ...

Electrodermal signatures of stress during tactical law enforcement training.

Law enforcement tactical training places sustained cognitive and emotional demands on recruits, making stress regulation a critical determinant of lea...

Automating Motivational Interviewing Coding in Adolescent Substance Use Prevention: Human-AI Agreement Study.

BACKGROUND: Motivational interviewing (MI) is widely used in preventive interventions, yet coding MI techniques and monitoring intervention adherence ...

The Impact of Digital Transformation on Nursing Professional Experience: Critical Interpretive Synthesis Review Developing the Fragmented Professional Transition in Nursing (FPT-N) Model.

BACKGROUND: Digital transformation through electronic health records (EHRs), telehealth, mobile health, and emerging AI has reshaped nursing work. Bey...

The NFL Scouting Combine Explains Within-Position Physical Performance Variance But Is a Poor Predictor of Draft Outcomes.

Doyle, BP, Stanelle, ST, Riechman, SE, and Mann, JB. The NFL scouting combine explains within-position physical performance variance but is a poor pre...

Radiolabeled drug-delivery and controlled-release nanocarriers for arthritis: Clinical evidence, kinetic modeling, radiation-safety challenges, and precision nanotheranostics.

BACKGROUND: Arthritis comprises a heterogeneous group of inflammatory and degenerative joint disorders characterized by distinct pathological mechanis...

Optimizing gadolinium-enhanced CNS MRI: From physics to clinical practice.

Gadolinium-based contrast agents (GBCAs) are essential for the evaluation of central nervous system (CNS) disorders, enhancing lesion detection, chara...

[Dual-axis evolution model of physical intervention-bioprinting depth for in situ 3D bioprinting in vivo and research perspectives].

In situ 3D bioprinting in vivo is leading a profound paradigm shift of manufacturing in regenerative medicine. However, to achieve the leap from mere ...